Pandas Profiling Report

Dataset statistics

Number of variables	15
Number of observations	6497
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	761.5 KiB
Average record size in memory	120.0 B

Variable types

NUM	13
CAT	2

Warnings

citric_acid has 151 (2.3%) zeros Zeros

Reproduction

Analysis started	2020-11-21 05:16:30.520853
Analysis finished	2020-11-21 05:17:28.746116
Duration	58.23 seconds
Software version	pandas-profiling v2.9.0
Download configuration	config.yaml

df_index
Real number (ℝ_≥0)

Distinct	4898
Distinct (%)	75.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2042.535632
Minimum	0
Maximum	4897
Zeros	2
Zeros (%)	< 0.1%
Memory size	50.8 KiB

Quantile statistics

Minimum	0
5-th percentile	162
Q1	812
median	1649
Q3	3273
95-th percentile	4572.2
Maximum	4897
Range	4897
Interquartile range (IQR)	2461

Descriptive statistics

Standard deviation	1436.926393
Coefficient of variation (CV)	0.7035012612
Kurtosis	-1.11588531
Mean	2042.535632
Median Absolute Deviation (MAD)	1100
Skewness	0.4104190593
Sum	13270354
Variance	2064757.459
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2	< 0.1%
1142	2	< 0.1%
1090	2	< 0.1%
1094	2	< 0.1%
1098	2	< 0.1%
1102	2	< 0.1%
1106	2	< 0.1%
1110	2	< 0.1%
1114	2	< 0.1%
1118	2	< 0.1%
Other values (4888)	6477	99.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2	< 0.1%
1	2	< 0.1%
2	2	< 0.1%
3	2	< 0.1%
4	2	< 0.1%

Value	Count	Frequency (%)
4897	1	< 0.1%
4896	1	< 0.1%
4895	1	< 0.1%
4894	1	< 0.1%
4893	1	< 0.1%

fixed_acidity
Real number (ℝ_≥0)

Distinct	106
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	7.215307065
Minimum	3.8
Maximum	15.9
Zeros	0
Zeros (%)	0.0%
Memory size	50.8 KiB

Quantile statistics

Minimum	3.8
5-th percentile	5.7
Q1	6.4
median	7
Q3	7.7
95-th percentile	9.8
Maximum	15.9
Range	12.1
Interquartile range (IQR)	1.3

Descriptive statistics

Standard deviation	1.296433758
Coefficient of variation (CV)	0.1796782516
Kurtosis	5.061160665
Mean	7.215307065
Median Absolute Deviation (MAD)	0.6
Skewness	1.723289647
Sum	46877.85
Variance	1.680740488
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6.8	354	5.4%
6.6	327	5.0%
6.4	305	4.7%
7	282	4.3%
6.9	279	4.3%
7.2	273	4.2%
6.7	264	4.1%
7.1	257	4.0%
6.5	242	3.7%
7.4	238	3.7%
Other values (96)	3676	56.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3.8	1	< 0.1%
3.9	1	< 0.1%
4.2	2	< 0.1%
4.4	3	< 0.1%
4.5	1	< 0.1%

Value	Count	Frequency (%)
15.9	1	< 0.1%
15.6	2	< 0.1%
15.5	2	< 0.1%
15	2	< 0.1%
14.3	1	< 0.1%

volatile_acidity
Real number (ℝ_≥0)

Distinct	187
Distinct (%)	2.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.3396659997
Minimum	0.08
Maximum	1.58
Zeros	0
Zeros (%)	0.0%
Memory size	50.8 KiB

Quantile statistics

Minimum	0.08
5-th percentile	0.16
Q1	0.23
median	0.29
Q3	0.4
95-th percentile	0.67
Maximum	1.58
Range	1.5
Interquartile range (IQR)	0.17

Descriptive statistics

Standard deviation	0.1646364741
Coefficient of variation (CV)	0.4847010717
Kurtosis	2.825372417
Mean	0.3396659997
Median Absolute Deviation (MAD)	0.08
Skewness	1.495096542
Sum	2206.81
Variance	0.0271051686
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.28	286	4.4%
0.24	266	4.1%
0.26	256	3.9%
0.25	238	3.7%
0.22	235	3.6%
0.27	232	3.6%
0.23	221	3.4%
0.2	217	3.3%
0.3	214	3.3%
0.32	205	3.2%
Other values (177)	4127	63.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.08	4	0.1%
0.085	1	< 0.1%
0.09	1	< 0.1%
0.1	6	0.1%
0.105	6	0.1%

Value	Count	Frequency (%)
1.58	1	< 0.1%
1.33	2	< 0.1%
1.24	1	< 0.1%
1.185	1	< 0.1%
1.18	1	< 0.1%

citric_acid
Real number (ℝ_≥0)

ZEROS

Distinct	89
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.3186332153
Minimum	0
Maximum	1.66
Zeros	151
Zeros (%)	2.3%
Memory size	50.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0.05
Q1	0.25
median	0.31
Q3	0.39
95-th percentile	0.56
Maximum	1.66
Range	1.66
Interquartile range (IQR)	0.14

Descriptive statistics

Standard deviation	0.1453178649
Coefficient of variation (CV)	0.4560662791
Kurtosis	2.397239216
Mean	0.3186332153
Median Absolute Deviation (MAD)	0.07
Skewness	0.4717306725
Sum	2070.16
Variance	0.02111728186
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.3	337	5.2%
0.28	301	4.6%
0.32	289	4.4%
0.49	283	4.4%
0.26	257	4.0%
0.34	249	3.8%
0.29	244	3.8%
0.27	236	3.6%
0.24	232	3.6%
0.31	230	3.5%
Other values (79)	3839	59.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	151	2.3%
0.01	40	0.6%
0.02	56	0.9%
0.03	32	0.5%
0.04	41	0.6%

Value	Count	Frequency (%)
1.66	1	< 0.1%
1.23	1	< 0.1%
1	6	0.1%
0.99	1	< 0.1%
0.91	2	< 0.1%

residual_sugar
Real number (ℝ_≥0)

Distinct	316
Distinct (%)	4.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	5.443235339
Minimum	0.6
Maximum	65.8
Zeros	0
Zeros (%)	0.0%
Memory size	50.8 KiB

Quantile statistics

Minimum	0.6
5-th percentile	1.2
Q1	1.8
median	3
Q3	8.1
95-th percentile	15
Maximum	65.8
Range	65.2
Interquartile range (IQR)	6.3

Descriptive statistics

Standard deviation	4.757803743
Coefficient of variation (CV)	0.8740764355
Kurtosis	4.359271948
Mean	5.443235339
Median Absolute Deviation (MAD)	1.7
Skewness	1.435404263
Sum	35364.7
Variance	22.63669646
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	235	3.6%
1.8	228	3.5%
1.6	223	3.4%
1.4	219	3.4%
1.2	195	3.0%
2.2	187	2.9%
2.1	179	2.8%
1.9	176	2.7%
1.7	175	2.7%
1.5	172	2.6%
Other values (306)	4508	69.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.6	2	< 0.1%
0.7	7	0.1%
0.8	25	0.4%
0.9	41	0.6%
0.95	4	0.1%

Value	Count	Frequency (%)
65.8	1	< 0.1%
31.6	2	< 0.1%
26.05	2	< 0.1%
23.5	1	< 0.1%
22.6	1	< 0.1%

chlorides
Real number (ℝ_≥0)

Distinct	214
Distinct (%)	3.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.05603386178
Minimum	0.009
Maximum	0.611
Zeros	0
Zeros (%)	0.0%
Memory size	50.8 KiB

Quantile statistics

Minimum	0.009
5-th percentile	0.028
Q1	0.038
median	0.047
Q3	0.065
95-th percentile	0.102
Maximum	0.611
Range	0.602
Interquartile range (IQR)	0.027

Descriptive statistics

Standard deviation	0.03503360137
Coefficient of variation (CV)	0.6252219686
Kurtosis	50.89805146
Mean	0.05603386178
Median Absolute Deviation (MAD)	0.011
Skewness	5.399827732
Sum	364.052
Variance	0.001227353225
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.044	206	3.2%
0.036	200	3.1%
0.042	187	2.9%
0.046	185	2.8%
0.048	182	2.8%
0.05	182	2.8%
0.04	182	2.8%
0.047	175	2.7%
0.045	174	2.7%
0.034	169	2.6%
Other values (204)	4655	71.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.009	1	< 0.1%
0.012	3	< 0.1%
0.013	1	< 0.1%
0.014	4	0.1%
0.015	4	0.1%

Value	Count	Frequency (%)
0.611	1	< 0.1%
0.61	1	< 0.1%
0.467	1	< 0.1%
0.464	1	< 0.1%
0.422	1	< 0.1%

free_sulfur_dioxide
Real number (ℝ_≥0)

Distinct	135
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	30.52531938
Minimum	1
Maximum	289
Zeros	0
Zeros (%)	0.0%
Memory size	50.8 KiB

Quantile statistics

Minimum	1
5-th percentile	6
Q1	17
median	29
Q3	41
95-th percentile	61
Maximum	289
Range	288
Interquartile range (IQR)	24

Descriptive statistics

Standard deviation	17.74939977
Coefficient of variation (CV)	0.5814648342
Kurtosis	7.906238067
Mean	30.52531938
Median Absolute Deviation (MAD)	12
Skewness	1.220066074
Sum	198323
Variance	315.0411923
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
29	183	2.8%
6	170	2.6%
26	161	2.5%
15	157	2.4%
24	152	2.3%
31	152	2.3%
17	149	2.3%
34	146	2.2%
35	144	2.2%
23	142	2.2%
Other values (125)	4941	76.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	3	< 0.1%
2	2	< 0.1%
3	59	0.9%
4	52	0.8%
5	129	2.0%

Value	Count	Frequency (%)
289	1	< 0.1%
146.5	1	< 0.1%
138.5	1	< 0.1%
131	1	< 0.1%
128	1	< 0.1%

total_sulfur_dioxide
Real number (ℝ_≥0)

Distinct	276
Distinct (%)	4.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	115.7445744
Minimum	6
Maximum	440
Zeros	0
Zeros (%)	0.0%
Memory size	50.8 KiB

Quantile statistics

Minimum	6
5-th percentile	19
Q1	77
median	118
Q3	156
95-th percentile	206
Maximum	440
Range	434
Interquartile range (IQR)	79

Descriptive statistics

Standard deviation	56.52185452
Coefficient of variation (CV)	0.488332648
Kurtosis	-0.3716636549
Mean	115.7445744
Median Absolute Deviation (MAD)	39
Skewness	-0.001177478234
Sum	751992.5
Variance	3194.720039
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
111	72	1.1%
113	65	1.0%
122	57	0.9%
117	57	0.9%
124	56	0.9%
128	56	0.9%
98	56	0.9%
114	56	0.9%
118	55	0.8%
119	54	0.8%
Other values (266)	5913	91.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
6	3	< 0.1%
7	4	0.1%
8	14	0.2%
9	15	0.2%
10	28	0.4%

Value	Count	Frequency (%)
440	1	< 0.1%
366.5	1	< 0.1%
344	1	< 0.1%
313	1	< 0.1%
307.5	1	< 0.1%

density
Real number (ℝ_≥0)

Distinct	998
Distinct (%)	15.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.9946966338
Minimum	0.98711
Maximum	1.03898
Zeros	0
Zeros (%)	0.0%
Memory size	50.8 KiB

Quantile statistics

Minimum	0.98711
5-th percentile	0.9899
Q1	0.99234
median	0.99489
Q3	0.99699
95-th percentile	0.999392
Maximum	1.03898
Range	0.05187
Interquartile range (IQR)	0.00465

Descriptive statistics

Standard deviation	0.002998673004
Coefficient of variation (CV)	0.003014660854
Kurtosis	6.606066991
Mean	0.9946966338
Median Absolute Deviation (MAD)	0.00231
Skewness	0.5036017301
Sum	6462.54403
Variance	8.992039783e-06
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.9976	69	1.1%
0.9972	69	1.1%
0.992	64	1.0%
0.998	64	1.0%
0.9928	63	1.0%
0.9986	61	0.9%
0.9966	59	0.9%
0.9962	59	0.9%
0.9956	55	0.8%
0.9968	55	0.8%
Other values (988)	5879	90.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.98711	1	< 0.1%
0.98713	1	< 0.1%
0.98722	1	< 0.1%
0.9874	1	< 0.1%
0.98742	2	< 0.1%

Value	Count	Frequency (%)
1.03898	1	< 0.1%
1.0103	2	< 0.1%
1.00369	2	< 0.1%
1.0032	1	< 0.1%
1.00315	3	< 0.1%

pH
Real number (ℝ_≥0)

Distinct	108
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.218500847
Minimum	2.72
Maximum	4.01
Zeros	0
Zeros (%)	0.0%
Memory size	50.8 KiB

Quantile statistics

Minimum	2.72
5-th percentile	2.97
Q1	3.11
median	3.21
Q3	3.32
95-th percentile	3.5
Maximum	4.01
Range	1.29
Interquartile range (IQR)	0.21

Descriptive statistics

Standard deviation	0.1607872021
Coefficient of variation (CV)	0.04995717254
Kurtosis	0.3676572674
Mean	3.218500847
Median Absolute Deviation (MAD)	0.11
Skewness	0.3868387981
Sum	20910.6
Variance	0.02585252436
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3.16	200	3.1%
3.14	193	3.0%
3.22	185	2.8%
3.2	176	2.7%
3.19	170	2.6%
3.15	170	2.6%
3.18	168	2.6%
3.24	161	2.5%
3.12	154	2.4%
3.1	154	2.4%
Other values (98)	4766	73.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2.72	1	< 0.1%
2.74	2	< 0.1%
2.77	1	< 0.1%
2.79	3	< 0.1%
2.8	3	< 0.1%

Value	Count	Frequency (%)
4.01	2	< 0.1%
3.9	2	< 0.1%
3.85	1	< 0.1%
3.82	1	< 0.1%
3.81	1	< 0.1%

sulphates
Real number (ℝ_≥0)

Distinct	111
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.5312682777
Minimum	0.22
Maximum	2
Zeros	0
Zeros (%)	0.0%
Memory size	50.8 KiB

Quantile statistics

Minimum	0.22
5-th percentile	0.35
Q1	0.43
median	0.51
Q3	0.6
95-th percentile	0.79
Maximum	2
Range	1.78
Interquartile range (IQR)	0.17

Descriptive statistics

Standard deviation	0.1488058736
Coefficient of variation (CV)	0.2800955372
Kurtosis	8.653698823
Mean	0.5312682777
Median Absolute Deviation (MAD)	0.08
Skewness	1.797270004
Sum	3451.65
Variance	0.02214318802
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.5	276	4.2%
0.46	243	3.7%
0.54	235	3.6%
0.44	232	3.6%
0.38	214	3.3%
0.48	208	3.2%
0.52	203	3.1%
0.49	197	3.0%
0.47	191	2.9%
0.45	190	2.9%
Other values (101)	4308	66.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.22	1	< 0.1%
0.23	1	< 0.1%
0.25	4	0.1%
0.26	4	0.1%
0.27	13	0.2%

Value	Count	Frequency (%)
2	1	< 0.1%
1.98	1	< 0.1%
1.95	2	< 0.1%
1.62	1	< 0.1%
1.61	1	< 0.1%

alcohol
Real number (ℝ_≥0)

Distinct	111
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	10.49180083
Minimum	8
Maximum	14.9
Zeros	0
Zeros (%)	0.0%
Memory size	50.8 KiB

Quantile statistics

Minimum	8
5-th percentile	9
Q1	9.5
median	10.3
Q3	11.3
95-th percentile	12.7
Maximum	14.9
Range	6.9
Interquartile range (IQR)	1.8

Descriptive statistics

Standard deviation	1.192711749
Coefficient of variation (CV)	0.1136803651
Kurtosis	-0.5316873829
Mean	10.49180083
Median Absolute Deviation (MAD)	0.9
Skewness	0.5657177291
Sum	68165.23
Variance	1.422561316
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9.5	367	5.6%
9.4	332	5.1%
9.2	271	4.2%
10	229	3.5%
10.5	227	3.5%
11	217	3.3%
9	215	3.3%
9.8	214	3.3%
10.4	194	3.0%
9.3	193	3.0%
Other values (101)	4038	62.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
8	2	< 0.1%
8.4	5	0.1%
8.5	10	0.2%
8.6	23	0.4%
8.7	80	1.2%

Value	Count	Frequency (%)
14.9	1	< 0.1%
14.2	1	< 0.1%
14.05	1	< 0.1%
14	12	0.2%
13.9	3	< 0.1%

quality
Real number (ℝ_≥0)

Distinct	7
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	5.818377713
Minimum	3
Maximum	9
Zeros	0
Zeros (%)	0.0%
Memory size	50.8 KiB

Quantile statistics

Minimum	3
5-th percentile	5
Q1	5
median	6
Q3	6
95-th percentile	7
Maximum	9
Range	6
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.8732552715
Coefficient of variation (CV)	0.1500856965
Kurtosis	0.2323222693
Mean	5.818377713
Median Absolute Deviation (MAD)	1
Skewness	0.1896226934
Sum	37802
Variance	0.7625747693
Monotocity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
6	2836	43.7%
5	2138	32.9%
7	1079	16.6%
4	216	3.3%
8	193	3.0%
3	30	0.5%
9	5	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3	30	0.5%
4	216	3.3%
5	2138	32.9%
6	2836	43.7%
7	1079	16.6%

Value	Count	Frequency (%)
9	5	0.1%
8	193	3.0%
7	1079	16.6%
6	2836	43.7%
5	2138	32.9%

quality_level
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	50.8 KiB

Good	4974
Excellent	1277
Bad	246

Frequencies
Length

Value	Count	Frequency (%)
Good	4974	76.6%
Excellent	1277	19.7%
Bad	246	3.8%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	9
Median length	4
Mean length	4.944897645
Min length	3

wine_type
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	50.8 KiB

white	4898
red	1599

Frequencies
Length

Value	Count	Frequency (%)
white	4898	75.4%
red	1599	24.6%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	5
Median length	5
Mean length	4.507772818
Min length	3

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

First rows

	df_index	fixed_acidity	volatile_acidity	citric_acid	residual_sugar	chlorides	free_sulfur_dioxide	total_sulfur_dioxide	density	pH	sulphates	alcohol	quality	quality_level	wine_type
0	0	7.0	0.27	0.36	20.7	0.045	45.0	170.0	1.0010	3.00	0.45	8.8	6	Good	white
1	1	6.3	0.30	0.34	1.6	0.049	14.0	132.0	0.9940	3.30	0.49	9.5	6	Good	white
2	2	8.1	0.28	0.40	6.9	0.050	30.0	97.0	0.9951	3.26	0.44	10.1	6	Good	white
3	3	7.2	0.23	0.32	8.5	0.058	47.0	186.0	0.9956	3.19	0.40	9.9	6	Good	white
4	4	7.2	0.23	0.32	8.5	0.058	47.0	186.0	0.9956	3.19	0.40	9.9	6	Good	white
5	5	8.1	0.28	0.40	6.9	0.050	30.0	97.0	0.9951	3.26	0.44	10.1	6	Good	white
6	6	6.2	0.32	0.16	7.0	0.045	30.0	136.0	0.9949	3.18	0.47	9.6	6	Good	white
7	7	7.0	0.27	0.36	20.7	0.045	45.0	170.0	1.0010	3.00	0.45	8.8	6	Good	white
8	8	6.3	0.30	0.34	1.6	0.049	14.0	132.0	0.9940	3.30	0.49	9.5	6	Good	white
9	9	8.1	0.22	0.43	1.5	0.044	28.0	129.0	0.9938	3.22	0.45	11.0	6	Good	white

Last rows

	df_index	fixed_acidity	volatile_acidity	citric_acid	residual_sugar	chlorides	free_sulfur_dioxide	total_sulfur_dioxide	density	pH	sulphates	alcohol	quality	quality_level	wine_type
6487	1589	6.6	0.725	0.20	7.8	0.073	29.0	79.0	0.99770	3.29	0.54	9.2	5	Good	red
6488	1590	6.3	0.550	0.15	1.8	0.077	26.0	35.0	0.99314	3.32	0.82	11.6	6	Good	red
6489	1591	5.4	0.740	0.09	1.7	0.089	16.0	26.0	0.99402	3.67	0.56	11.6	6	Good	red
6490	1592	6.3	0.510	0.13	2.3	0.076	29.0	40.0	0.99574	3.42	0.75	11.0	6	Good	red
6491	1593	6.8	0.620	0.08	1.9	0.068	28.0	38.0	0.99651	3.42	0.82	9.5	6	Good	red
6492	1594	6.2	0.600	0.08	2.0	0.090	32.0	44.0	0.99490	3.45	0.58	10.5	5	Good	red
6493	1595	5.9	0.550	0.10	2.2	0.062	39.0	51.0	0.99512	3.52	0.76	11.2	6	Good	red
6494	1596	6.3	0.510	0.13	2.3	0.076	29.0	40.0	0.99574	3.42	0.75	11.0	6	Good	red
6495	1597	5.9	0.645	0.12	2.0	0.075	32.0	44.0	0.99547	3.57	0.71	10.2	5	Good	red
6496	1598	6.0	0.310	0.47	3.6	0.067	18.0	42.0	0.99549	3.39	0.66	11.0	6	Good	red

Overview

Variables

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows